## Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings, Volume 1This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications. |

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### Contents

Knowledge Discovery A Control Theory Perspective | 1 |

Modelling Customer Retention with Rough Data Models | 4 |

Share Based Measures for Itemsets | 14 |

Parallel Knowledge Discovery Using Domain Generalization Graphs | 25 |

Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systems | 36 |

Logical Calculi for Knowledge Discovery in Databases | 47 |

Extraction of Experts Decision Process from Clinical Databases Using Rough Set Model | 58 |

Discovering of Health Risks and CaseBased Forecasting of Epidemics in a Health Surveillance System | 68 |

Towards ProcessOriented Tool Support for Knowledge Discovery in Databases | 243 |

A Connectionist Approach to Structural Similarity Determination as a Basis of Clustering Classification and Feature Detection | 254 |

Searching for Relational Patterns in Data | 265 |

Finding Spatial Clusters | 277 |

Interactive Interpretation of Hierarchical Clustering | 288 |

Towards a Fair Evaluation of the CostEffectiveness of KDD Techniques | 299 |

Recognizing Reliability of Discovered Knowledge | 307 |

Clustering Techniques in Biological Sequence Analysis | 315 |

An Algorithm for Multirelational Discovery of Subgroups | 78 |

Finding Similar Time Series | 88 |

A Novel Approach to Similarity Representation | 101 |

Pattern Based Browsing in Document Collections | 112 |

Induction of Fuzzy Characteristic Rules | 123 |

RegressionBased Classification Methods and Their Comparison with Decision Tree Algorithms | 134 |

Attribute Discovery and Rough Sets | 145 |

Generation of Rules from Incomplete Information Systems | 156 |

Rough Set Analysis and Its Interaction with GoalOriented Measurement | 167 |

Efficient Multisplitting on Numerical Data | 178 |

An Intelligent Assistant for Exploratory Data Analysis | 189 |

Exploratory Analysis of Biochemical Processes Using Hybrid Modeling Methods | 200 |

Using Signature Files for Querying TimeSeries Data | 211 |

A New and Versatile Method for Association Generation | 221 |

Bivariate Decision Trees | 232 |

TOAS Intelligence Mining Analysis of Natural Language Processing and Computational Linguistics | 323 |

Algorithms for Constructing of Decision Trees | 335 |

Mining in the Phrasal Frontier | 343 |

Mining Time Series Using Rough Sets A Case Study | 351 |

Rough Set Approach to Continuous Data | 359 |

On Meta Levels of an Organized Society of KDD Agents | 367 |

Using Neural Network to Extract Knowledge from Database | 376 |

Induction of Strong Feature Subsets | 384 |

Rough Sets for Data Mining and Knowledge Discovery | 393 |

Techniques and Applications of KDD | 394 |

Data Mining | 395 |

Data Mining in the Telecommunications Industry | 396 |

### Common terms and phrases

Abstract accuracy algorithm analysis application approach Artificial Intelligence association rules AutoClass binary characteristic rules classification clusters completion Computer Science concept considered construction contains corresponding count data mining data set decision rules decision table decision tree defined denote DGGs Discovery in Databases domain efficient error rate evaluation function example extracted Fayyad formula fuzzy generalised given graph hyperplane induction information system input interval itemset KDD agents KDD process keywords Knowledge Discovery logical Machine Learning marked fields measure methods multisplitting neural network node objects optimal output paper parameters partition patterns performed PolyAnalyst possible problem Proc procedure Proceedings query reducts representation represented retrieval rough set theory rule induction scenario sequence Section selection self-organizing map set of attributes signature signature block similarity SNOUT statistical structure subset task tolerance relations values variables vector window